Early Career Software Engineer, Battlespace Awareness

Title: Early Career Software Engineer, Battlespace Awareness Location: Broomfield, Colorado, United States; Fort Collins, Colorado, United States

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds

We don't just publish papers; we deploy production-grade systems that our government and industry customers depend on for mission-critical operations. If you're passionate about applying mathematics, software engineering, and signal processing to solve complex real-world problems, we want to hear from you.

WHAT YOU WILL DO

• Design and implement advanced tracking algorithms for novel air and missile threats, including multi-target tracking, track fusion, and discrimination techniques
• Develop high-performance, real-time software systems that process radar sensor data and maintain tracks on dozens to hundreds of simultaneous targets
• Build and leverage modeling & simulation environments to validate tracking performance, quantify system capabilities, and identify areas for improvement
• Collaborate directly with radar engineers and system architects to integrate tracking solutions into end-to-end defense systems
• Optimize tracking software for performance-critical environments where milliseconds matter
• Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and customers to drive informed decisions
• Participate in customer demonstrations and field tests to ensure successful deployment and operational effectiveness

REQUIRED QUALIFICATIONS

• 0-2 years of relevant experience & Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field (or equivalent experience)
• Strong programming skills in C++ and Python
• Solid foundation in mathematics: linear algebra, probability, statistics, and/or differential equations
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

DESIRED QUALIFICATIONS

• Experience with tracking, estimation, or filtering algorithms (Kalman filters, particle filters, multiple hypothesis tracking, etc.)
• Background in controls, estimation theory, or digital signal processing
• Familiarity with radar systems or sensor fusion
• Experience with high-performance computing (multithreading, GPU acceleration, distributed systems)
• Knowledge of machine learning techniques for classification, clustering, or data association
• Proficiency with database technologies (SQL, NoSQL, time-series databases)
• Experience with web development technologies (JavaScript, React, Node.js) for building visualization and analysis tools
• Familiarity with modeling and simulation tools (MATLAB, Simulink, or custom frameworks)
• Experience working in agile development environments
• Active U.S. Top Secret SCI clearance

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.